nebula.core.utils.nebulalogger#

Classes#

Module Contents#

class nebula.core.utils.nebulalogger.NebulaLogger(config, engine, scenario_start_time, *args, **kwargs)#

Bases: aim.pytorch_lightning.AimLogger

Parameters:

engine (nebula.core.engine.Engine)

config#
engine#
scenario_start_time#
local_step = 0#
global_step = 0#
finalize(status='')#
Parameters:

status (str)

Return type:

None

get_step()#
log_data(data, step=None)#
log_figure(figure, step=None, name=None)#